DocumentCode
2975668
Title
A Study on Scalable Object Replication Method for the Distributed Cooperative Storage System
Author
Yoshinaga, Hirokazu ; Tsuchiya, Takeshi ; Sawano, Hiroaki ; Koyanagi, Keiichi
Author_Institution
Grad. Sch. of Inf., Production & Syst., Waseda Univ., Kitakyushu, Japan
fYear
2009
fDate
20-25 July 2009
Firstpage
96
Lastpage
101
Abstract
A peer-to-peer (P2P) technology is applied for various systems because it enables to construct a system with high scalability and robustness. We have proposed a distributed cooperative storage system that can construct huge storage space by providing it on a P2P network. The storage system is based on an overlay network construction, and its hash space is created in an application layer. Each peer manages the certain range of the hash space, and an object is stored to suitable peers by using a hash value from the object.In the general P2P network, objects are replicated over many peers to achieve high availability. Some replicated methods have been proposed: objects are randomly assigned, assigned on a route path, or assigned to peers that the number of them is fixed by a network neighborhood depending on a distributed hash table. However, they are not so suitable since the scale of the network is not considered in these methods. Therefore, we propose distributed interval trees for setting the number suitably, and the availability is described with simulation.
Keywords
peer-to-peer computing; storage management; distributed cooperative storage system; distributed hash table; distributed interval trees; overlay network construction; peer-to-peer technology; scalable object replication method; Availability; Computer networks; Cooperative systems; Delay; File systems; Peer to peer computing; Production systems; Robustness; Scalability; Space technology; Distributed Storage; Interval Trees; Peer-to-Peer; Replication;
fLanguage
English
Publisher
ieee
Conference_Titel
Digital Telecommunications, 2009. ICDT '09. Fourth International Conference on
Conference_Location
Colmar
Print_ISBN
978-0-7695-3695-8
Type
conf
DOI
10.1109/ICDT.2009.25
Filename
5205227
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